Pricing Data Engineer

Pricing Data Engineer Build and maintain data infrastructure and tools for consistent, data‑driven pricing across the firm. Collaborate with cross‑functional teams to modernize workflows, integrate AI, and improve pricing analysis. Essential Functions and Responsibilities Design and maintain scalable pricing workflows that support consistent matter scoping, budgeting, and financial analysis across the firm Build and maintain a centralized pricing data infrastructure, consolidating data from multiple systems to support firmwide pricing Support the development and maintenance of pricing strategies for AI‑enabled legal services and emerging delivery models Develop and manage data pipelines and queries to support pricing analysis and reporting Modernize pricing workflows by reducing reliance on manual processes and implementing scalable, system‑driven solutions Design and deliver pricing tools, including budget builders, scenario modeling, and comparable matter analysis interfaces Integrate AI capabilities into pricing workflows to enhance analysis, forecasting, and decision‑making Collaborate with cross‑functional teams to support effective pricing, planning, and monitoring of matters through data‑driven tools Establish feedback loops to track performance and continuously improve pricing models, tools, and methodologies Develop pricing frameworks and unit economics to support AI‑enabled legal work, enabling partners to price, monitor, and refine matters Design pricing processes to be natively executable using AI tools Design and maintain a centralized pricing data layer to support consistent data access and usability Enhance data granularity to enable detailed pricing analysis across phase, task, and resource levels Ensure consistency, transparency, and governance across all pricing data, tools, and methodologies Job Specifications Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, or related field preferred Strong SQL and Python skills, with experience building scalable workflows, structured data pipelines, automation, APIs, and reporting solutions Experience working with AI platforms, automation tools, or AI‑enabled workflows preferred Knowledge of cloud data warehouses and experience with cloud‑based data platforms and data visualization/reporting tools preferred Strong mathematical and analytical skills Ability to work under tight deadlines and prioritize responsibilities Compensation & Benefits Target hiring range: $110,000 – $169,000. Base pay is based on market location and may vary depending on job‑related knowledge, skills, experience, and geographic location. Base pay is one part of the Total Rewards that McDermott Will & Schulte provides to compensate and recognize our staff professionals for their work. Full‑time positions are eligible for a discretionary bonus and a comprehensive benefits package. Successful candidates will receive a competitive total rewards package with the opportunity to earn performance‑based bonuses. Physical Demands and Work Environment Physical demands: sit, use hands, reach with hands and arms, stoop, talk, and hear; must occasionally lift up to twenty (20) pounds. Work environment: typical indoor office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr McDermott Will & Schulte LLP